Published 10/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Navigating Ethical Boundaries in AI
What you’ll learn
Assess the effects of AI on society, including issues related to bias, privacy, and accountability, and recognize their implications for organizations.
Explain the critical role internal auditors play in evaluating and promoting ethical practices surrounding AI technologies within their organizations.
Perform risk assessments focused on AI-related ethical challenges, identifying potential areas of concern and suggesting mitigation strategies.
Advocate for best practices that foster transparency and fairness in AI systems, enhancing trust among stakeholders.
Lead discussions on ethical AI usage within organizations, encouraging a culture of integrity and responsibility in AI deployment.
Requirements
Familiarity with auditing concepts, methodologies, and practices is essential for engaging with the course material.
Prior experience in risk assessment or compliance roles will be beneficial for contextualizing the discussions on ethical boundaries.
Familiarity with relevant regulations and guidelines concerning data privacy and ethical use of technology, such as GDPR or CCPA, is advantageous.
A willingness to engage in discussions about ethics and responsibility in technology use will contribute to a productive learning environment.
Description
Overview
Lecture 1 Course Overview
Lecture 5 Full Lecture
This course is ideal for anyone aiming to enhance their understanding of the ethical dimensions of AI and their role in promoting responsible practices within organizations.
